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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 23 Feb 2016 18:27:29 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/23/t1456252104rlkdmhc8tp4qzql.htm/, Retrieved Mon, 06 May 2024 04:29:59 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292547, Retrieved Mon, 06 May 2024 04:29:59 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [Histogram - Faill...] [2016-02-09 17:38:51] [c70cb4e2fd292719fccf14df5a61069d]
- R  D    [Histogram] [Histogram - Infla...] [2016-02-23 18:27:29] [544b481aaa38f6ceeb4c090a83033a19] [Current]

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Dataseries X:

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Histogram

Boxplots

1,9
2
2
1,8
1,6
1,4
0,2
0,3
0,4
0,7
1
1,1
0,8
0,8
1
1,1
1
0,8
1,6
1,5
1,6
1,6
1,6
1,9
2
1,9
2
2,1
2,3
2,3
2,6
2,6
2,7
2,6
2,6
2,4
2,5
2,5
2,5
2,4
2,1
2,1
2,3
2,3
2,3
2,9
2,8
2,9
3
3
2,9
2,6
2,8
2,9
3,1
2,8
2,4
1,6
1,5
1,7
1,4
1,1
0,8
1,2
0,8
0,9
0,9
1
0,9
1,1
1
0,7
0
0,2
0,4
0,6
1,1
1
1
0,8
0,6
0,6
0,7
0,7

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292547&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292547&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292547&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,0.5[	0.25	6	0.071429	0.071429	0.142857
[0.5,1[	0.75	16	0.190476	0.261905	0.380952
[1,1.5[	1.25	15	0.178571	0.440476	0.357143
[1.5,2[	1.75	13	0.154762	0.595238	0.309524
[2,2.5[	2.25	15	0.178571	0.77381	0.357143
[2.5,3[	2.75	16	0.190476	0.964286	0.380952
[3,3.5]	3.25	3	0.035714	1	0.071429

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,0.5[ & 0.25 & 6 & 0.071429 & 0.071429 & 0.142857 \tabularnewline
[0.5,1[ & 0.75 & 16 & 0.190476 & 0.261905 & 0.380952 \tabularnewline
[1,1.5[ & 1.25 & 15 & 0.178571 & 0.440476 & 0.357143 \tabularnewline
[1.5,2[ & 1.75 & 13 & 0.154762 & 0.595238 & 0.309524 \tabularnewline
[2,2.5[ & 2.25 & 15 & 0.178571 & 0.77381 & 0.357143 \tabularnewline
[2.5,3[ & 2.75 & 16 & 0.190476 & 0.964286 & 0.380952 \tabularnewline
[3,3.5] & 3.25 & 3 & 0.035714 & 1 & 0.071429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292547&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][0,0.5[[/C][C]0.25[/C][C]6[/C][C]0.071429[/C][C]0.071429[/C][C]0.142857[/C][/ROW]
[ROW][C][0.5,1[[/C][C]0.75[/C][C]16[/C][C]0.190476[/C][C]0.261905[/C][C]0.380952[/C][/ROW]
[ROW][C][1,1.5[[/C][C]1.25[/C][C]15[/C][C]0.178571[/C][C]0.440476[/C][C]0.357143[/C][/ROW]
[ROW][C][1.5,2[[/C][C]1.75[/C][C]13[/C][C]0.154762[/C][C]0.595238[/C][C]0.309524[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]15[/C][C]0.178571[/C][C]0.77381[/C][C]0.357143[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]16[/C][C]0.190476[/C][C]0.964286[/C][C]0.380952[/C][/ROW]
[ROW][C][3,3.5][/C][C]3.25[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.071429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292547&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292547&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,0.5[	0.25	6	0.071429	0.071429	0.142857
[0.5,1[	0.75	16	0.190476	0.261905	0.380952
[1,1.5[	1.25	15	0.178571	0.440476	0.357143
[1.5,2[	1.75	13	0.154762	0.595238	0.309524
[2,2.5[	2.25	15	0.178571	0.77381	0.357143
[2.5,3[	2.75	16	0.190476	0.964286	0.380952
[3,3.5]	3.25	3	0.035714	1	0.071429

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code